Subjunctive and subject pronoun realization: a study of "no creo que"
Bibliographic record
Abstract
Subjunctive mood in complement clauses is licensed under selection from certain predicates or under the scope of a modal or negation. In contexts where mood choice varies, such as the complement of a negated epistemic verb no creer, it introduces a contrast in interpretation. The subjunctive is thought to contribute to a shift in the modal anchoring of the embedded clause, and is consequently interpreted as indicative of a dissociation between the epistemic models of the speaker and the subject. We provide evidence that these uses also interact with pragmatic context. Given independent claims that 1) the overt realization of first person subject pronouns is contrastive and 2) it generally serves to anchor discourse to the speaker’s perspective and 3) overt use is particularly frequent with epistemic verbs, we examined the interaction between negation, first person subject pronoun realization, and mood of the dependent clause for the verb creer. An analysis of oral speech from the Proyecto de Habla Culta revealed that for negative sentences (no creo que), yo is overtly realized more frequently for cases with exceptional indicative dependents than for those with canonical subjunctive dependents; there was no association with mood for affirmative uses of creer. These results support analyses where negation has specific scope over the contrastive subject, rather than over the epistemic clause. As a consequence, the matrix proposition remains an assertion and use of indicative complements is licensed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".